Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Comprehensive Analysis of the Glycolysis-Related Gene Prognostic Signature and Immune Infiltration in Endometrial Cancer

11 Feb 2022

Abstract excerpt

Glucose metabolic reprogramming and immune imbalance play important roles in the progression of cancers. The purpose of this study is to develop a glycolysis-related prognostic signature for endometrial cancer (EC) and analyze its relationship with immune function. The mRNA expression profiling of the glycolysis-related genes and clinical data of EC patients were downloaded from The Cancer Genome Atlas (TCGA). We...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer, Hypoxia, and Metabolism
Share to Cancer-related molecular mechanisms research
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35223866
DOI: 10.3389/fcell.2021.797826

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comprehensive Analysis of the Glycolysis-Related Gene Prognostic Signature and Immune Infiltration in Endometrial CancerPMID 35223866Read ↗

Comprehensive Analysis of the Association Between the Glycolysis Prognostic Risk Signature and Immune Infiltration in Endometrial CancerSemantic proximity Read ↗

Establishment Of A Novel Glycolysis-Immune-Related Diagnosis Gene Signature For Endometriosis By Machine LearningSemantic proximity Read ↗

Nine glycolysis-related gene signature predicting the survival of patients with endometrial adenocarcinomaSemantic proximity Read ↗

Establishment of a novel glycolysis-immune-related diagnosis gene signature for endometriosis by machine learningSemantic proximity Read ↗

Identification and validation of a novel glycolysis-related gene signature for predicting the prognosis in ovarian cancerSemantic proximity Read ↗

Identification of novel cell glycolysis related gene signature predicting survival in patients with endometrial cancerSemantic proximity Read ↗

Nine glycolysis-related gene signature predicting the survival of patients with endometrial adenocarcinomaSemantic proximity Read ↗

Lactate metabolism-related genes to predict the clinical outcome and molecular characteristics of endometrial cancerSemantic proximity Read ↗

A novel five-gene metabolism-related risk signature for predicting prognosis and immune infiltration in endometrial cancer: A TCGA data miningSemantic proximity Read ↗

Machine learning-based glycolysis-associated molecular classification reveals differences in prognosis, TME, and immunotherapy for colorectal cancer patientsSemantic proximity Read ↗

Identification of a Glycolysis-Related Gene Signature for Survival Prediction of Ovarian Cancer PatientsSemantic proximity Read ↗

Identification of a Glycolysis-Related Gene Signature for Survival Prediction of Ovarian Cancer PatientsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.